arXiv:2608.05176cs.CYcs.AI2026-08

AI时代音乐教育面临创作、消费与教学三重变革,亟需重新定位。

Challenges for Musical Education in the Age of AI and Digital Transformation

  • 分析音乐创作、传播与受众变化的三大趋势
  • 指出生成式AI可凭文本生成完整乐曲
  • 为音乐教育改革提供系统性思考框架

音乐教育始终随技术变革而演进。当前正面临三个深度交织的转型:1. 音乐本身的变化——创作、传播、消费与价值认知方式发生根本改变;2. 音乐受众的变化——流媒体算法塑造听觉习惯,消费者与创作者边界模糊;3. 音乐制作方式的变革——数字音频工作站(DAWs)已重塑作曲实践长达二十年。此外,生成式AI的出现使仅凭短文本提示即可生成风格一致的完整乐曲。这些变革相互关联,直接影响音乐教育的内容设置与教学方法。本文旨在梳理这些挑战,并探讨教育如何适应。第二部分综述音乐在多个维度的变化,第三部分分析对教育的影响,第四部分总结。

原文摘要 · Abstract (English)

Music education has never been a static discipline. Each major technological shift has forced educators and institutions to reconsider what they teach, how they teach it, and why. We now stand at what may be the most consequential of such turning points. Three deeply intertwined transformations have been converging simultaneously: 1. The very nature of music has changed: how it is made, distributed, consumed, and valued; 2. The public for music has changed: listening habits are now shaped by streaming algorithms and the boundary between consumer and creator has blurred; 3. Music-making itself has changed: digital audio workstations (DAWs) have for two decades been reshaping compositional practice. In addition, generative AI has now irrupted, capable of producing complete, stylistically coherent musical pieces from a short text prompt. These changes are not independent of one another, and they all bear directly on musical education - both the content that must be taught, and the pedagogical tools and methods available to teach it. This paper attempts to map these challenges and to consider how education might adapt. Section 2 surveys the changes in various aspects of music (nature, production, public, economics). Section 3 examines the implications for education before Section 4 concludes.

音乐教育AI生成数字转型

Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品;中文卡片由大模型生成,请以原文为准。